Lead Data Architect

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities. • Make it about others. We do what's best for our customers and collaborate to drive progress. • Make it happen. We work with intention toward a common purpose and forge ways forward together. • Make it better. We create fulfilling purpose- [... source excerpt omitted ...] kota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. Position Overview You will be designing the structural blueprints for Genworth’s data systems, ensuring that the data is secure, accessible, and available so that business goals and requirements are met with your blueprints. The blueprints will have enough detail on how data is collected, stored, integrated, transformed, and published so other teams can implement the blueprints. The blueprints you build will also contain capability frameworks so the how data is collected, stored, integrated, transformed, and published is [... source excerpt omitted ...] ropriate and also with pre built components or templates to further enable a consistent approach and enable more cost effective and faster execution of data product delivery. Key Responsibilities Establish enterprise data models including an enterprise insurance data model that is followed by different build and vendor partners. Define data domains and structures based on business requirements. Define and enable consistent data designs so data solution construction and data user experience is consistent. Create decision trees to define what must be consistent based on the situation and requirements. Define and design interoperability across data solutions including the technology